Feature Engineering for Machine Learning Zheng AlicePaperback
Feature Engineering for Machine Learning Zheng AlicePaperback Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. Each chapter guides…
Specifikacia Feature Engineering for Machine Learning Zheng AlicePaperback
Feature Engineering for Machine Learning Zheng AlicePaperback
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. Each chapter guides you through a single data problem, such as how to represent text or image data. With this practical book, you'll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models.
The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Together, these examples illustrate the main principles of feature engineering.Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.You'll examine:Feature
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